Charging power equalization method and device based on intelligent electric meter

Abstract

The invention provides a charging power balancing method and device based on an intelligent electric meter, and the method comprises the steps: collecting the current power utilization data of power utilization equipment on a current circuit through the intelligent electric meter, and enabling the power utilization equipment to comprise charging equipment and load equipment except the charging equipment; calculating the load power of the current circuit according to the collected current power consumption data; comparing the calculated load power with a preset power threshold value; and when the load power exceeds the preset power threshold value, adjusting the output current of the charging equipment to realize power balance. The intelligent electric meter is used for collecting current circuit power consumption data in real time, calculating the total load power on the current circuit and dynamically adjusting the output current of the charging equipment, so that balanced distribution of power grid loads is realized, and the power consumption efficiency and the power grid stability are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of charging control, and particularly to a charging power balancing method and device based on an intelligent electricity meter. Background Art

[0002] With the popularization of electric vehicles and the widespread use of renewable energy, charging devices have an impact on the power grid. Traditional charging management schemes often ignore the current load balance, resulting in grid overload or power waste during peak periods. As an advanced metering device, an intelligent electricity meter can provide data acquisition and transmission functions in multiple modes, providing a technical basis for dynamically adjusting the charging power.

[0003] However, current solutions mostly focus on single-device management and lack a systematic power balancing strategy.

[0004] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of the present invention, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0005] Aiming at the problems in the prior art, the purpose of the present invention is to provide a charging power balancing method and device based on an intelligent electricity meter, which overcomes the difficulties of the prior art and can solve the technical problem of the lack of a systematic power balancing strategy in the existing charging field.

[0006] The first aspect of the present disclosure provides a charging power balancing method based on an intelligent electricity meter, which includes:

[0007] Using the intelligent electricity meter to collect the current electricity consumption data of the electrical equipment on the current circuit, where the electrical equipment includes a charging device and load devices other than the charging device;

[0008] Calculating the load power of the current circuit according to the collected current electricity consumption data;

[0009] Comparing the calculated load power with a preset power threshold;

[0010] When the load power exceeds the preset power threshold, adjusting the output current of the charging device to achieve power balance.

[0011] Optionally, the using the intelligent electricity meter to collect the current electricity consumption data of the electrical equipment includes:

[0012] Using the intelligent electricity meter to periodically collect the current electricity consumption data of the electrical equipment.

[0013] Optionally, using the intelligent electricity meter to collect the current electricity consumption data of the electrical equipment on the current circuit includes:

[0014] By establishing a wireless communication connection with the smart meter, the current power consumption data of the electrical devices on the current circuit is received.

[0015] Optionally, the charging power balancing method further includes:

[0016] Before collecting the current power consumption data of the electrical devices on the current circuit using the smart meter, based on the system configuration of the smart meter, user configuration, or the pattern recognition field in the packet header of the current power consumption data, determine the current working mode of the smart meter, and then collect the current power consumption data of the electrical devices on the current circuit based on the current working mode;

[0017] The current working mode includes a first mode and a second mode;

[0018] The current power consumption data collected based on the first mode includes basic load parameters;

[0019] The current power consumption data collected based on the second mode includes the basic load parameters and extended load parameters, and the data transmission rate corresponding to the second mode is higher than the data transmission rate corresponding to the second mode.

[0020] Optionally, in the second mode, the basic load parameters and extended load parameters are collected from the smart meter through an encrypted communication and authentication mechanism.

[0021] Optionally, calculating the load power of the current circuit according to the collected current power consumption data includes:

[0022] The basic load parameters include the current voltage and current of the electrical devices on the current circuit. Calculate the instantaneous power of each electrical device according to the current voltage and current, and sum all the instantaneous powers to obtain the load power of the current circuit.

[0023] Optionally, the preset power threshold is dynamically determined according to the grid capacity where the current circuit is located and / or user settings.

[0024] Optionally, the following method is used to obtain the target output current of the charging device, including:

[0025] Extract the contract maximum current, actual total load current, and the current output current of the charging device from the data body field of the current power consumption data, and calculate the target output current of the charging device as: the contract maximum current - the actual total load current + the current output current;

[0026] Adjust the output current of the charging device according to the target output current.

[0027] Optionally, adjusting the output current of the charging device includes:

[0028] Reducing the current output current of at least part of the charging device proportionally, where the proportion is determined based on the target output current;

[0029] If the load power still exceeds the preset power threshold after reducing the current output current, suspend the charging process of the lowest-priority charging device until the load power resumes below the preset power threshold.

[0030] Optionally, reducing the current output current of at least part of the charging device proportionally includes:

[0031] Reducing the current output current of at least part of the charging device at regular time intervals, and the reduction amount is evenly distributed based on the difference between the current output current and the target output current.

[0032] Optionally, the target output current is limited within a preset current range after adjustment.

[0033] Optionally, the charging power balancing method further includes:

[0034] Currently monitoring the current grid voltage and current grid frequency of the grid where the current circuit is located, and when the current grid voltage deviates from the voltage threshold and / or the current grid frequency deviates from the frequency threshold, reducing the output current of the charging device to the current threshold.

[0035] A second aspect of the present disclosure provides a charging power balancing device based on an intelligent meter, which includes:

[0036] An acquisition module that uses an intelligent meter to acquire the current power consumption data of electrical devices on the current circuit, and the electrical devices include charging devices and load devices other than the charging devices;

[0037] A calculation module that calculates the load power of the current circuit according to the acquired current power consumption data;

[0038] A comparison module that compares the calculated load power with a preset power threshold;

[0039] An adjustment module that adjusts the output current of the charging device to achieve power balance when the load power exceeds the preset power threshold.

[0040] Compared with the related art, the above charging power balancing method and device based on an intelligent meter have the following technical effects:

[0041] By collecting the current power consumption data of the circuit in real time from the smart meter, calculating the total load power, and dynamically adjusting the working state of the charging device, the balanced distribution of the grid load is achieved, and the power consumption efficiency and grid stability are improved.

[0042] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Other features, objects, and advantages of the present invention will become more apparent by reading the detailed description of the non-limiting embodiments with reference to the following drawings.

[0044] Figure 1 The architecture diagram of the charging power balancing system based on the smart meter provided by the embodiment of the present disclosure.

[0045] Figure 2 The flowchart of the charging power balancing method based on the smart meter provided by the embodiment of the present disclosure.

[0046] Figure 3 The flowchart of an application example of the charging power balancing method based on the smart meter provided by the embodiment of the present disclosure.

[0047] Figure 4 The module structure diagram of the charging power balancing device based on the smart meter provided by the embodiment of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0048] Now, the exemplary embodiments will be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be implemented in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that the present disclosure will be more comprehensive and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments.

[0049] In addition, the drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0050] Such as Figure 1As shown in the figure, the present disclosure provides an architecture of a charging power balancing system based on a smart meter. Its hardware basis includes a smart meter 1, a charging device 2, a control unit 3, and a load device 4. The load device 4 is other electrical devices except the charging device 2. The smart meter 1 is installed in the current power consumption circuit, responsible for monitoring current power consumption data such as voltage, current, and power, and transmitting the data to the control unit 3 through a communication module (such as Zigbee, Wi-Fi, or 4G / 5G) 5. The control unit 3 can be a local server or a cloud platform, responsible for data processing, load analysis, and instruction issuance. The charging device 2 includes charging piles, energy storage devices, etc., and supports remote control and power adjustment.

[0051] The control unit 3 can also be integrated in the charging device 2.

[0052] Among them, the control unit 3 is used to specifically execute the charging power balancing method based on the smart meter, such as Figure 2 As shown in the figure, the present disclosure provides a charging power balancing method based on a smart meter, which includes but is not limited to the following steps:

[0053] Step 210: Use the smart meter to collect the current power consumption data of the electrical devices on the current circuit, and the electrical devices include the charging device and the load device other than the charging device;

[0054] Step 220: Calculate the load power of the current circuit according to the collected current power consumption data;

[0055] Step 230: Compare the calculated load power with a preset power threshold;

[0056] Step 240: When the load power exceeds the preset power threshold, adjust the output current of the charging device to achieve power balance.

[0057] Among them, the power consumption data on the current circuit includes the charging device and other load devices, and the load power of the current circuit is the total load power on the current circuit. This embodiment uses the smart meter to collect the current power consumption data of the current circuit in real time, calculate the total load power on the current circuit, and dynamically adjust the output current of the charging device to achieve an even distribution of the grid load, improve power consumption efficiency, and grid stability.

[0058] In the embodiment of the present disclosure, combined with Figure 1 As shown in the figure, the smart meter 1 collects power consumption data at regular time intervals (such as 1 second, 1 minute, or other time intervals), including voltage, current, power factor, and total power consumption.

[0059] In this way, the above step 210 specifically includes: using the smart meter to periodically collect the current power consumption data of the electrical devices to balance the collection efficiency and accuracy.

[0060] In the embodiments of the present disclosure, the currently collected power consumption data can be transmitted to the control unit 3 through an encrypted communication protocol. In this way, the control unit 3 establishes a wireless communication connection with the smart meter 1 to receive the currently collected power consumption data of the electrical devices on the current circuit, so as to ensure the security and integrity of the data. The communication module supports multiple protocols to ensure stable operation in different network environments. For example, in a home scenario, Wi-Fi can be used; in an industrial scenario, 4G / 5G networks can be used.

[0061] In another embodiment, a wired carrier communication connection can also be established between the control unit 3 and the smart meter 1.

[0062] In the embodiments of the present disclosure, the data collection in step 210 supports two working modes: the first mode and the second mode. In the current situation, based on the system configuration of the smart meter, user configuration, or the mode recognition field in the packet header of the currently collected power consumption data, the current working mode of the smart meter is determined. Specifically, the working mode can be selected according to the meter type, device compatibility, and requirements.

[0063] Therefore, before using the smart meter to collect the currently collected power consumption data of the electrical devices on the current circuit, the current working mode of the smart meter can be determined first, and then the currently collected power consumption data of the electrical devices on the current circuit is collected based on the current working mode. Among them, the currently collected power consumption data collected based on the first mode includes basic load parameters, and the currently collected power consumption data collected based on the second mode includes the basic load parameters and extended load parameters. At the same time, the data transmission rate corresponding to the second mode is higher than that corresponding to the second mode.

[0064] Among them, the first mode adapts to the traditional meter mode, aiming to ensure the compatibility of the current smart meter with traditional meters (such as electronic or mechanical meters) and their supporting energy management devices without direct communication between the two meters. The implementation methods include:

[0065] Interface and data format: The first mode uses the same physical interface (such as RS232) (as the first interface) and communication protocol as the traditional meter, and the output data format (as the first data format) is the same as that of the traditional meter. For example, a traditional meter may output a simple data frame containing a voltage of 220V and a current of 10A per second, and the first mode also outputs in this format, ensuring that the data structure, field length, and encoding method are the same as those of the traditional meter. This allows existing compatible devices (such as energy monitors) to directly read the data without hardware or software modification.

[0066] Transmission Rate: The transmission rate of the first mode is set to low speed (about 1200 baud), which matches the processing capacity of traditional devices. The low-speed transmission ensures that data will not be too fast for old devices to handle. For example, traditional devices are usually designed to process serial data at 1200 baud.

[0067] Collected Content: The first mode only collects basic load parameters that traditional electricity meters can provide, including voltage, current, power, etc. These parameters are sufficient to meet the basic load monitoring requirements, but do not include modern functions (such as power curves or time-of-use electricity prices). For example, the electricity meter may collect the current voltage (unit: V) and current current (unit: A) of all electrical devices in the current circuit and output them to external devices and send them to the control unit 3.

[0068] The first mode can be applied to scenarios where users are still using traditional electricity meters or their supporting devices. For example, after a user upgrades to a smart electricity meter, the first mode allows their traditional electricity meter to continue working, reading data of the current voltage and current current for basic load parameter monitoring.

[0069] In this embodiment, the second mode is oriented to the functions of smart electricity meters, collecting richer parameters to support detailed load analysis and optimization. The implementation methods include:

[0070] Interface and Data Format: The second mode uses modern communication interfaces (such as Ethernet, Wi-Fi, as the second interface) or advanced protocols (such as DLMS / COSEM), and the output data format (as the second data format) is more complex, including extended load parameters. For example, it may include voltage, current, power curve data at regular intervals, time-of-use electricity consumption, and power factor, etc.

[0071] Transmission Rate: The transmission rate of the second mode is set to high speed (about 9600 baud or higher) to support large data volume transmission. The high-speed transmission is accessed by authorized devices (such as smart home systems or control units) to ensure data timeliness and integrity.

[0072] Collected Content: The second mode collects extended load parameters, including but not limited to:

[0073] Basic load parameters such as current voltage and current current.

[0074] Load Variation Curve: Records the power variation over a period of time for analyzing the electricity usage pattern.

[0075] Time-of-Use Electricity Data: Records the electricity consumption according to peak and off-peak time periods.

[0076] Power Factor: An indicator reflecting the device efficiency for optimizing energy consumption.

[0077] Grid Status: Such as time-of-use electricity price, frequency, and voltage fluctuation.

[0078] Security mechanism: The second mode requires authorized devices to access data, ensuring data security through encryption communication (such as the TLS protocol) and authentication (such as API keys). For example, only verified smart home systems (such as HomeAssistant) or control unit 3 are allowed to access data, preventing unauthorized access.

[0079] Applicable scenarios: The second mode is applicable to users or scenarios that require detailed load analysis and optimization. For example, charging stations can use the second mode to currently monitor the load curves of all charging piles and optimize the charging time; smart home users can adjust their electricity consumption strategies according to time-of-use electricity prices.

[0080] Combined Figure 1 As shown, the above-mentioned working mode switching can be achieved through the configuration interface of smart meter 1 or control unit 3. Users or system administrators can select the mode according to the following factors:

[0081] Device type: If the energy management device in the current circuit is a traditional device, select the first mode; if it is a modern smart device, select the second mode.

[0082] User requirements: If the user only needs basic monitoring, select the first mode; if detailed analysis or optimization is required, select the second mode.

[0083] Grid requirements: During peak periods, the second mode may be preferred to obtain more data to support load balancing.

[0084] After switching, the smart meter automatically adjusts the interface, transmission rate, and data output format to ensure compatibility with the devices and requirements of the selected mode.

[0085] In this embodiment, after the control unit 3 receives the current electricity consumption data transmitted by the smart meter, it extracts the current voltage U and current I therefrom, and calculates the load power of the current circuit according to the formula P_total = Σ(P_i). Wherein, P_i is the instantaneous power of each electrical device, and the calculation formula is P_i = U × I.

[0086] For example, if the current circuit includes a charging pile (current 20A, voltage 220V) and an air conditioner (current 5A, voltage 220V), then their respective instantaneous powers are P_charger = 220 × 20 = 4400W, P_air = 220 × 5 = 1100W, and the total load power P_total = 4400 + 1100 = 5500W.

[0087] In the embodiments of the present disclosure, the calculated load power P_total is compared with a preset power threshold P_threshold. If P_total ≤ P_threshold, the system continues to monitor; if P_total > P_threshold, the Figure 2 current adjustment process of step 240 shown is triggered.

[0088] Among them, the above-mentioned preset power threshold P_threshold can be dynamically determined according to the grid capacity and user settings. For example, if the rated power of the grid is 8000W, then P_threshold can be set to 5600W to 7200W.

[0089] In the embodiments of the present disclosure, when the load power exceeds the preset power threshold, Figure 1 the control unit 3 shown adjusts the output current of the charging device in the current circuit. Exemplarily, before performing Figure 2 step 240 shown, the following method is used to obtain the target output current of the charging device, including:

[0090] Extract the contract maximum current, the actual total load current, and the current output current of the charging device from the data body field of the current power consumption data, and calculate the target output current of the charging device as: the contract maximum current - the actual total load current + the current output current;

[0091] Adjust the output current of the charging device according to the target output current.

[0092] In this embodiment, the target output current is used to guide the current adjustment, and its ultimate goal is to reduce the load power (P_total) of the current circuit to below the preset power threshold (P_threshold).

[0093] Specifically, the adjustment process may include the following sub-steps:

[0094] Reduce the current output current of at least some of the charging devices proportionally, where the proportion is determined based on the target output current;

[0095] If after reducing the current output current, the load power still exceeds the preset power threshold, suspend the charging process of the lowest priority charging device until the load power returns below the preset power threshold. Among them, the priority rule is based on the type or importance of the electrical equipment. For example, medical equipment has a higher priority than entertainment equipment.

[0096] Optionally, reducing the current output current of at least some of the charging devices proportionally includes:

[0097] Adjust the output current of the charging device at fixed time intervals, and the adjustment amount is evenly distributed based on the difference between the current output current and the target output current of the charging device.

[0098] In the embodiments of the present disclosure, the target output current I_target is restricted within a preset current gear range after adjustment. The gears can be set at intervals of 5A, such as 5A, 10A, 15A, etc. For example, if the calculated I_target is 17A, it is adjusted to the nearest 15A gear.

[0099] The above current gears are used for the discrete value range of actually adjusting the output current of the charging device, which are dynamic values in actual operation and are calculated and adjusted by the control unit 3 according to the load conditions.

[0100] In the embodiments of the present disclosure, the method further includes a power grid status monitoring function. The control unit 3 currently monitors the current grid voltage and current grid frequency of the power grid where the current circuit is located. When the current grid voltage deviates from the voltage threshold and / or the current grid frequency deviates from the frequency threshold, the output current of the charging device is reduced to the current threshold.

[0101] The nominal voltage value refers to the standard operating voltage of the power grid, and the nominal frequency value refers to the standard operating frequency of the power grid. It is a reference value for the stability of the power grid and is used to detect frequency fluctuations. The nominal current value is the design reference value of the charging device under normal operating conditions. For example, if the maximum designed output current of a charging pile is 20A, its nominal current value may be 20A. This is a theoretical reference value used to set the safety upper limit or adjustment benchmark.

[0102] Among them, the voltage threshold, frequency threshold, and current threshold can be set as needed and are not limited herein.

[0103] In the embodiments of the present disclosure, the application scenarios of the charging power balancing method based on the smart meter provided in this embodiment include home electricity usage scenarios or charging station scenarios.

[0104] In the home electricity usage scenario, as Figure 1 shown, there is an electric vehicle charging pile (i.e., charging device 2) and other load devices 4 at home, such as air conditioners and several small household appliances. The smart meter collects the current electricity usage data once per second and transmits the data to the control unit 3 on the home router. After detecting overload, the control unit 3 automatically reduces the output power of the charging device 2 while maintaining the normal operation of the air conditioner and lighting devices.

[0105] For large-scale application scenarios (such as charging station clusters or community power grids), this solution supports achieving power balancing within the region through a cloud computing platform. At this time, Figure 1The control unit 3 shown is deployed in the cloud computing platform, collects the current power consumption data of multiple smart meters, analyzes the power consumption patterns of the entire area, and coordinates the power output of each charging device. For example, during the peak power consumption period in a certain area, the platform may instruct some charging stations to reduce power, and increase the charging capacity during the low period.

[0106] The cloud computing platform also uses machine learning algorithms to predict peak and off-peak power consumption. For example, by analyzing historical data and weather factors, the platform can predict the peak period of the next day one day in advance and adjust the charging strategy before the peak period arrives. This predictive ability significantly improves the stability of the power grid and resource utilization.

[0107] As a specific implementation, the embodiments of the present disclosure also provide a method for balancing the charging power based on smart meters, as Figure 3 shown, which includes but is not limited to the following steps:

[0108] Step 310: Parse the current power consumption data received from the smart meter;

[0109] Step 320: Determine the current working mode of the smart meter;

[0110] Regardless of whether it is the first mode or the second mode, the following steps are executed:

[0111] Step 330: Parse the frame structure of the received current power consumption data. The frame structure refers to the organization format of the data packet, including a packet header (header), a data body (payload), and a tail (tail). The packet header contains metadata (such as source address, destination address, protocol type), the data body may contain basic load parameters (such as current, power), and the tail may include check information;

[0112] Step 340: Checksum. The checksum is a part of the frame structure and also an error detection mechanism used to ensure that the data has not been corrupted during transmission or storage. Its role is to verify the integrity and correctness of the data packet;

[0113] When there is a checksum error or the key frame is not found, return to step 330;

[0114] Step 350: If the check is correct, find the contract maximum current, the actual total load current, and the current output current of the current charging device from the above data body fields;

[0115] Step 360: Calculate the target output current that the current charging device should output;

[0116] Step 370: Regularly adjust the output current of the current charging device and determine whether the timing time has been reached;

[0117] Step 380: If the timing time is reached, set the target output current of the current charging device to the current gear closest to the current output current;

[0118] If the timing time is not reached, return to Step 310.

[0119] Among them, when the contract maximum current, the actual total load current, and the current output current of the current charging device are not found, Step 390 is executed to set the target output current of the current charging device to the minimum current gear to avoid overload or error.

[0120] The present disclosure embodiment also provides a charging power balancing device based on a smart meter, as Figure 4 shown, which includes but is not limited to the following modules:

[0121] Acquisition module 410, which uses a smart meter to acquire the current power consumption data of the electrical devices on the current circuit, and the electrical devices include charging devices and load devices other than the charging devices;

[0122] Calculation module 420, which calculates the load power of the current circuit according to the acquired current power consumption data;

[0123] Comparison module 430, which compares the calculated load power with a preset power threshold;

[0124] Adjustment module 440, when the load power exceeds the preset power threshold, adjusts the output current of the charging device to achieve power balance.

[0125] In the present disclosure embodiment, the acquisition module 410 uses a smart meter to acquire the current power consumption data of the electrical devices on the current circuit, where the electrical devices include charging devices (such as charging piles) and load devices other than the charging devices (such as air conditioners and lighting).

[0126] The acquisition module 410 supports two working modes: the first mode and the second mode. The first mode simulates the behavior of a traditional meter and acquires basic load parameters such as voltage, current, and power through an interface compatible with a traditional meter (such as RS232) and a low transmission rate (1200 baud) to ensure compatibility with existing traditional energy management devices. The second mode acquires extended load parameters, including voltage, current, load change curves, and time-of-use power consumption data, through a high transmission rate (9600 baud) and an authorized device (such as a smart home system).

[0127] The acquisition module 410 collects current power usage data at fixed time intervals and transmits it to the calculation module 420 via an encrypted communication protocol (such as the Advanced Encryption Standard). The acquisition module 410 may also include a mode switching unit that dynamically switches the operating mode based on system configuration (such as load conditions) or user configuration (such as manual selection) and verifies whether the data frame structure is correct.

[0128] In the disclosed embodiment, calculation module 420 receives the current power consumption data transmitted by acquisition module 410 and calculates the current circuit load power according to the formula P_total = Σ(P_i), where P_i is the instantaneous power of each power-consuming device, calculated as P_i = U × I (U is the current voltage, I is the current current). Calculation module 420 transmits the result to comparison module 430.

[0129] In the disclosed embodiment, comparison module 430 is specifically configured to compare the calculated load power (P_total) with a preset power threshold (P_threshold). P_threshold is dynamically determined based on grid capacity, contracted maximum current, and user settings. If P_total ≤ P_threshold, the system continues monitoring; if P_total > P_threshold, adjustment module 440 is triggered.

[0130] The adjustment module 440 is specifically used to adjust the output current of the charging device in the current circuit to achieve power balance when the load power exceeds a preset power threshold. The adjustment process may specifically include:

[0131] The current output power of at least some of the charging devices is proportionally reduced.

[0132] If P_total still exceeds the threshold after the reduction, the charging process of the lowest priority charging device will be suspended until P_total returns to below P_threshold. Priority is based on device type or user settings, for example, electric vehicle charging takes precedence over energy storage charging.

[0133] The output current is adjusted at fixed time intervals, and the adjusted output current is limited to a preset level (such as 5A, 10A, 15A, etc.), not exceeding the upper limit of the contracted maximum current.

[0134] The adjustment module 440 is also used to ensure that the output current of all charging devices is automatically reduced when the power grid is abnormal.

[0135] The above-mentioned charging power balancing device based on the smart meter adopts a modular design. By monitoring the current circuit power consumption data, calculating the total load power and dynamically adjusting the working status of the charging equipment, the balanced distribution of the grid load is achieved, and the power efficiency and grid stability are improved.

[0136] Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common general knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and examples are only to be considered as exemplary, and the true scope and spirit of the present disclosure are pointed out by the appended claims.

Claims

1. A charging power balancing method based on an intelligent electricity meter, characterized in that, Including: Using a smart meter to collect the current power consumption data of electrical devices on the current circuit, where the electrical devices include charging devices and load devices other than the charging devices; Calculating the load power of the current circuit based on the collected current power consumption data; Comparing the calculated load power with a preset power threshold; When the load power exceeds the preset power threshold, adjusting the output current of the charging device to achieve power balance.

2. The charging power equalization method according to claim 1, characterized in that The step of using a smart meter to collect the current power consumption data of electrical devices includes: Using the smart meter to periodically collect the current power consumption data of electrical devices.

3. The charging power balancing method according to claim 1, wherein The step of using a smart meter to collect the current power consumption data of electrical devices on the current circuit includes: Receiving the current power consumption data of electrical devices on the current circuit by establishing a wireless communication connection with the smart meter.

4. The charging power balancing method according to claim 1, characterized in that The charging power balancing method further includes: Before using the smart meter to collect the current power consumption data of electrical devices on the current circuit, determining the current working mode of the smart meter based on the system configuration of the smart meter, user configuration, or the mode recognition field in the packet header of the current power consumption data, and then collecting the current power consumption data of electrical devices on the current circuit based on the current working mode; The current working mode includes a first mode and a second mode; The current power consumption data collected based on the first mode includes basic load parameters; The current power consumption data collected based on the second mode includes the basic load parameters and extended load parameters, and the data transmission rate corresponding to the second mode is higher than that corresponding to the second mode.

5. The charging power balancing method according to claim 4, wherein In the second mode, collecting the basic load parameters and extended load parameters from the smart meter through an encrypted communication and authentication mechanism.

6. The charging power equalization method according to claim 4, wherein The step of calculating the load power of the current circuit based on the collected current power consumption data includes: The basic load parameters include the current voltage and current of electrical devices on the current circuit. Calculating the instantaneous power of each electrical device based on the current voltage and current, and summing all the instantaneous powers to obtain the load power of the current circuit.

7. The charging power equalization method according to claim 1, wherein The preset power threshold is dynamically determined according to the grid capacity where the current circuit is located and / or user settings.

8. The charging power balancing method according to claim 1, wherein The following method is used to obtain the target output current of the charging device, including: Extracting the contract maximum current, actual total load current, and the current output current of the charging device from the data body field of the current power consumption data, and calculating the target output current of the charging device as: the contract maximum current - the actual total load current + the current output current; Performing the adjustment of the output current of the charging device according to the target output current.

9. The charging power balancing method according to claim 8, wherein The adjustment of the output current of the charging device includes: Reducing the current output current of at least some charging devices proportionally, where the proportion is determined based on the target output current; If, after reducing the current output current, the load power still exceeds the preset power threshold, pausing the charging process of the lowest-priority charging device until the load power returns below the preset power threshold.

10. The charging power equalization method according to claim 9, wherein Reducing the current output current of at least part of the charging device in proportion includes: Reducing the current output current of at least part of the charging device at fixed time intervals, and the reduction amount is evenly distributed based on the difference between the current output current and the target output current.

11. The charging power equalization method according to claim 10, wherein The target output current is limited within a preset current range after adjustment.

12. The charging power equalization method according to claim 1, wherein It further includes: Currently monitoring the current grid voltage and current grid frequency of the grid where the current circuit is located, and when the current grid voltage deviates from the voltage threshold and / or the current grid frequency deviates from the frequency threshold, reducing the output current of the charging device to the current threshold.

13. A charging power balancing device based on an intelligent electricity meter, characterized in that, It includes: A collection module that uses a smart meter to collect the current power consumption data of the electrical devices on the current circuit, and the electrical devices include the charging device and the load devices other than the charging device; A calculation module that calculates the load power of the current circuit according to the collected current power consumption data; A comparison module that compares the calculated load power with a preset power threshold; An adjustment module that adjusts the output current of the charging device to achieve power balance when the load power exceeds the preset power threshold.

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